In a survey of institutional traders conducted by JP Morgan, more than half of the respondents predicted that, over the next three years, machine learning and artificial intelligence will have a greater impact on trading than blockchain and distributed ledger technology. The seventh edition of JP Morgan's e-Trading Edit report was released in January and was based on a survey of 835 institutional traders across 60 worldwide marketplaces. The objective of the annual survey of trader sentiment, which covers a variety of asset classes, is to identify "upcoming trends and the most controversial topics." The turbulent cryptocurrency bear market, along with recent consumer and business enthusiasm over approachable AI technology like ChatGPT, appears to have changed the perspective of financial industry professionals. With 25% of respondents saying they were critical to the future, blockchain and distributed ledger technologies tied for second place with AI and machine learning last year.

More than half of the institutional traders surveyed by global financial services giant JP Morgan said that artificial intelligence and machine learning will be the most influential technology in shaping the future of trading over the next three years--cited four times more often than blockchain and distributed ledger technology. JP Morgan's e-Trading Edit report is now in its seventh year, the latest report drawn from a January survey of 835 institutional traders in 60 global markets. The annual assessment of trader sentiment spans several asset classes and is intended to reveal "upcoming trends and the most hotly debated topics." The tumultuous bear market in crypto--coupled with the recent consumer and commercial hype over accessible AI technology like ChatGPT--seems to have shifted the outlook of financial industry professionals. Last year, blockchain and distributed ledger technology tied for second with AI and machine learning with 25 percent of respondents declaring them key to the future.